Jan Philip is a computer science researcher at the University of Göttingen, Germany, with a focus on NLP and AI research. Currently pursuing his Ph.D. in Göttingen, he has also worked with leading scholars in the field at the National Research Council, Canada.
Jan’s research interests lie in two main applications of NLP: paraphrase detection and plagiarism detection, both of which are critical for improving natural language processing. His work in paraphrase detection involves developing algorithms that can identify when two phrases have the same meaning across different lexical variations through paraphrase types, which have numerous applications in NLP tasks like text-summarization, misinformation detection, and plagiarism detection.
In the area of plagiarism detection, Jan is focused on developing techniques to identify automatically generated content from models like ChatGPT, which are becoming increasingly prevalent as AI and machine learning advance. Jan’s research aims to provide transparency to this type of content and distinguish it from content created by humans.
Jan has published numerous papers in top-tier NLP and AI venues and has written several blog posts on society and ethics in AI. He is also a sought-after speaker and has given talks on NLP and AI around the world. To stay up-to-date with Jan Philip’s research, you can follow him on Twitter and LinkedIn. When not working on research, Jan enjoys outdoor activities like hiking, skiing, and flying fpv drones, as well as playing chess and spending time with his family.